ECTS
120 credits
Duration
2 years
Training structure
Faculty of Economics
Language(s) of instruction
French
Presentation
This program trains banking finance professionals and researchers in this field.
It offers modern programming combined with statistical methods applied to large financial databases, with the aim of managing banking risks.
This course takes constant account of developments in the banking sector, and in particular of changes in the banking risk analyst professions. Over the last few years, the banking professions have undergone profound changes. These changes and the globalization of operations have generated new risks. International operations account for a growing share of credit institutions' balance sheet and off-balance sheet activities, while market operations are becoming more diversified and complex. These developments have generated new types of risk and altered the factors of financial fragility likely to affect the quality of banking players' situations. As a corollary, the banking supervisory authorities have imposed prudential rules to prevent banks from going bankrupt. These rules are part of preventive action programs designed to promote the stability of domestic banking systems.
This new range of training courses is designed to meet Basel III regulatory constraints on the measurement of banking risks such as liquidity risk, asset liability management (ALM)...
The aim is to equip students with three types of skills: expertise in quantitative methods (econometrics, analysis of large databases, etc.), risk analysis (particularly in banking) and banking regulations, and mastery of IT tools (SAS, R, VBA, Python....). Courses in quantitative subjects take place in the MUSE trading room.
These skills equip students with powerful tools for measuring the risks faced by financial institutions, enabling them to join risk control departments....
Strong links have been forged for many years with regional and national professionals, such as the regional director of the Ecole Supérieure, the regional delegate of the Fédération Française des Banques... Numerous professionals are involved in Master 2 courses, or in the course's professionalization lectures. These professionals share their professional experience and explain the careers they can expect to enter on graduating. Internships are often secured as a result.
Conferences on Big Data, Artificial Intelligence (Python programming), ..... are organized by Data Scientist specialists.
As a result, students benefit from excellent professional training based on solid theoretical knowledge and professional application by recognized experts in the field, through tutored projects or professionalization conferences. This enables the vast majority of graduates to find a job within six months of completing their Master 2. The integration rate is over 77%.
Objectives
The aim of this course is to equip students with three types of skills: expertise in quantitative methods (econometrics, analysis of large databases....), in risk analysis (particularly banking risks) and banking regulations, and in IT tools (SAS, R, VBA, Python....).
- Give students the skills they need to work as risk analysts (analyzing different types of risk: credit risk analysts, operational risk analysts, compliance risk analysts, liquidity risk analysts, ALM asset-liability management, risk managers within banking establishments.... ) to be able to propose personal solutions in the field of risk management (risk assessment of complex products, construction of structured products or complex portfolios, etc.).
- Provide students with the skills needed to conduct research for public bodies and to understand financial and banking regulations and operations, to detect, assess and model risks, and to evaluate financial and banking products.
- Master the tools of financial modeling and banking econometrics, enabling you to apply for jobs as financial risk analysts and back office functions.
- Acquire technical training based on the handling of large, multi-frequency financial databases, combined with the most powerful computer software.
- Acquire sufficient knowledge to apply for the Contrats doctoraux competition and/or to register for a PhD.
- Computer skills and the ability to model and use computer tools and software packages often used in the marketplace (SAS, VBA....).
- Master the tools of financial modeling and banking econometrics, enabling you to apply for jobs as a market operator, portfolio manager, financial risk analyst or in the back office.
- The ARB program uses tools to help students succeed. A professional is on hand to help students prepare for internships and job searches. The actions implemented are as follows: CV and cover letter preparation, preparation for internships and job interviews. Workshops on job search support methodology (CV, cover letter, etc.) and job interview preparation sessions (recruitment process, types of interview, etc.). In addition, mock interview sessions are scheduled with a recruiter (professional) and a Master's teacher.
Organization
Special features
Special study and examination arrangements are available for students with disabilities and/or high-level athletes.
Program
See Examination of knowledge
Your choice: 1 of 2
English for Finance 1
2 creditsSpanish 1
Theoretical econometrics
5 creditsMarket Finance
4 creditsMonetary and financial macroeconomics
3 creditsForecasting methods
5 creditsAlgorithms and Programming
3 creditsData mining and big data
Data warehouse
Economics of Bancassurance
3 credits
Optional
Your choice: 1 of 2
Financial English 2
2 creditsSpanish 2
2 credits
Introduction to stochastic calculus
4 creditsCorporate Finance
4 creditsIntroduction to SAS
2 creditsBanking techniques
3 creditsTime series econometrics
5 creditsTechnical analysis
2 creditsApplied econometrics project
5 creditsFinancial mathematics in Excel VBA
3 credits
Professionalization conferences
Financial markets and financial theory
2 creditsNumerical methods in VBA banking
2 creditsTrading algorithm
1 creditsPortfolio management under R
1 creditsFinancial analysis (Banque de France)
1 creditsPrimary equity market: initial public offering
0.5 creditsStochastic calculus
2 creditsOperational and compliance risks
2 creditsEnglish for finance
1 creditsIntroduction to artificial intelligence in Python
Exploratory statistics (SAS)
1 creditsComputer techniques (VBA)
1 creditsFinancial Big Data
1 creditsCredit risk
2 creditsCybersecurity and cryptography
1 creditsEconometrics applied to finance
2 creditsEconometrics of financial markets
2 creditsAsset liability management (ALM)
2 creditsInterest rate risk
2 creditsFinTechs, Block-Chain and Crypto-currencies
1 creditsNumerical Methods in Actuarial Science "VBA
2 creditsProgramming in R
Banking and insurance regulations
1 credits
And then
Professional integration
This master's degree has a dual purpose:
- and leads to a job.
- research: doctoral studies are possible, subject to the quality of the applied research dissertation.
This program is designed to train high-level executives for careers in banking.
The Banking Risk Analysis course offers a comprehensive training program leading to access to the following professions: (this list is based on jobs held by Master's alumni)
Compliance Analyst, Banking Risk Analyst, Operational Risk Analyst, Internal Risk Controller, Portfolio Manager, Independent Forex and Cryptocurrency Trader, Investment Compliance Officer, Structured Finance Manager, Wealth Advisor ,Financial Risk Analyst, Credit Risk Analyst, Compliance Officer, Credit Manager, Brokerage Business Manager, Liquidity Risk Analyst, Data Project Services Manager, Data Analyst, Business Analyst, Statistical Analyst, Permanent Controller, Customer Operations Manager, Credit Recovery Manager, Corporate Credit Analyst, Asset Manager, Data Manager, Compliance controller, Economic and financial data processing, Business manager, IT project manager, Developer, Database administration and handling, Permanent controller, Assistant Broker, Assistant Quant, Sales, Assistant Trader, Middle Office manager, Back Office manager, Internal auditor, Assistant Portfolio Manager, Performance Measurement and Attribution Analyst, Information Systems Designer, Account Manager, Finance Consultant, Data Project Manager, Banking and Insurance Advisor, Data Scientist, Financial Advisor, Financing Manager, Derivatives Account Manager, Higher Education, CNRS Researcher......
These professions are carried out within the main financial institutions such as :
Crédit Agricole, Banque de France, BNP Pariba, Natixis, Société Générale, Banque Populaire, CIC Lyonnaise de Banque, Astéo Luxembourg, Crédit Agricole Corporate and Investment Bank, Banque Centrale Européenne, Ecobank, Allianz, Caisse d'Epargne, Banque HSBC, OFI Asset Management, la Banque Postale, Arkea, cabinet d'audit, cabinet comptable.....
Here you'll find all the important information you need to know about professional integration:
- Professional integration rate
- Companies that recruit
- Occupations etc...
Professional integration Master's degree in Banking Risk Analysis